Train my own dataset (string handwritten digits) about deep-text-recognition

[bilalltf]

I fixed the issue by setting worker = 0

[yakhyo]

hi @bilalltf, it occurs when you don't have enough space to load data to RAM. Decrease the map_size . You changed the map_size but it's still huge to fit into RAM. You should decrease the map_size until it fits into RAM memory.

[bilalltf]

Thank you for your reply I fixed that but I still have this problem:

dataset_root: ./data_lmdb/training dataset: /
sub-directory: /. num samples: 6698
num total samples of /: 6698 x 1.0 (total_data_usage_ratio) = 6698
num samples of / per batch: 768 x 1.0 (batch_ratio) = 768
Traceback (most recent call last):
File "C:\Users\rosetta\train.py", line 262, in
train(opt)
File "C:\Users\rosetta\train.py", line 31, in train
train_dataset = Batch_Balanced_Dataset(opt)
File "C:\Users\rosetta\utils\dataset.py", line 69, in init
self.dataloader_iter_list.append(iter(_data_loader))

[bilalltf]

Can you help me resolve this with a meeting?

[yakhyo]

@bilalltf yes, GTM +9, at 2pm.